Publications
Landslides and soil distribution, soil conservation and the risk of landslide remobilisation. Geba-Werei water divide, Tigray, Ethiopia Ghent University
Naïve and Semi-Naïve Bayesian Classification of Landslide Susceptibility Applied to the Kulekhani River Basin in Nepal as a Test Case Vrije Universiteit Brussel
Paleoseismic potential of sublacustrine landslide records in a high-seismicity setting (south-central Alaska) Ghent University
Multi-Temporal DInSAR to Characterise Landslide Ground Deformations in a Tropical Urban Environment: Focus on Bukavu (DR Congo) Vrije Universiteit Brussel KU Leuven
Landslides can lead to high impacts in less developed countries, particularly in tropical environments where a combination of intense rainfall, active tectonics, steep topography, and high population density can be found. However, the processes controlling landslide initiation and their evolution through time remains poorly understood. Here we show the relevance of the use of the multi-temporal differential radar interferometric (DInSAR) ...
Evaluation of the consistency of landslide susceptibility mapping: a case study from the Kankai watershed in east Nepal Vrije Universiteit Brussel
Slope stability analysis and landslide susceptibility assessment on the SE foot slopes of Mt Cameroon Ghent University
Landslide inventory for hazard assessment in a data-poor context: a regional-scale approach in a tropical African environment Vrije Universiteit Brussel KU Leuven
Landslide characteristics and spatial distribution in the Rwenzori Mountains, Uganda Vrije Universiteit Brussel KU Leuven
In many landslide-prone regions, data on landslide characteristics remain poor or inexistent. This is also the case for the Rwenzori Mountains, located on the border of Uganda and the DR Congo. There, landslides frequently occur and cause fatalities and substantial damage to private property and infrastructure. In this paper, we present the results of a field inventory performed in three representative study areas covering 114 km 2. A total ...